Beginner Deep Learning Tutorial in PyTorch | How to Make a Convolutional Neural Network | Tutorial 1
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- Опубликовано: 6 сен 2024
- Explaining the effects of batch size, learning rate, loss function, cross entropy function. Calculating model gradient / derivatives through backpropagation, forward pass, backward pass through the network.
The Colab Notebook: colab.research...
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At every point video was informative and interesting. The way you communicate is very easy to understand
Bro that was such a clear tutorial, I subbed
Woot, enjoy!
this is dope, thank you so much. Would love to see more in this series
Thanks a ton - I will try!
Great job greg
Would you do sequance models in pytorch ,please?
Absolutely will do, just wait :)
Why didn't you use the chroma key to make the background transparent?
Very useful Video, thanks greg
Glad to hear it! You're very welcome:)
great explanation.
Really glad to hear that!!
Great video
Thanks very much! :)
For some reason, Pytorch seems to be much more complicated than TF...
It's a lot more code. But it's very flexible, and once you get used to it, you may like it better. Or maybe not :)
Make long tuts
35 minutes is pretty long!
@@GregHoggyes it is